Finviz Stock Insider Trading & Executive Transactions Extractor

🚀 Overview & Value Proposition

Track real-time CEO, Director, and 10% beneficial owner stock purchases and sales from Finviz. Extracts insider name, relationship, cost, shares, and transaction value.

Engineered for professional developers, algorithmic trading firms, Web3 researchers, growth marketers, and data engineers. This Actor extracts structured data directly from official API gateways and high-speed endpoints with zero browser overhead, zero captchas, and ultra-low compute latency.

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🥊 Why This Actor Beats the Competition

Feature	This Apify Actor	Traditional Browser / Puppeteer Scrapers
Speed	⚡ 100–500 items / sec (Direct HTTP & Clean JSON)	🐌 3–8 seconds per page load
Pricing	💰 Pay-Per-Result (PPR) — only pay for extracted records	💸 Billed for expensive browser CPU/RAM hours
Reliability	🛡️ Zero Cloudflare or Captcha failures	🛑 Frequent IP bans, block pages, and captcha blocks
Data Quality	🎯 Clean, typed, schema-validated JSON	⚠️ Fragile CSS selectors breaking every release

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🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

1. Open the Actor on Apify Console.
2. Fill in the input fields according to your research needs.
3. Click Start and download your results in JSON, CSV, or Excel format.

Method 2: Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = ticker: ...

run = client.actor("litezero/finviz-insider-trading-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Method 3: Node.js / JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/finviz-insider-trading-scraper').call({
    ticker: ...
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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📥 Input Parameters

All parameters are optional or have production-ready defaults:

Parameter	Type	Default	Description
ticker	string	``	Optional stock ticker symbol (e.g. 'NVDA', 'AAPL', 'TSLA'). Leave empty to fetch all latest market transactions.
transactionType	string	all	Filter by Buy or Sale transactions.
maxTransactions	integer	100	Maximum number of insider transactions to extract.

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📤 Output Data Dictionary

Every extracted item adheres strictly to the .actor/output_schema.json specification:

{
  "scrapedAt": "2026-10-03T18:30:00.000Z",
  "sample": "Refer to output schema specification"
}

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💡 Top Commercial Use Cases

1. Automated Data Pipelines: Schedule recurring runs via Apify Cron to feed internal databases and dashboards.
2. AI & LLM Enrichment: Feed clean, real-time structured data into RAG pipelines, LangChain agents, or fine-tuning datasets.
3. Market & Competitor Intelligence: Monitor industry trends, customer sentiment, and shifts in real-time.